Teradata SQL Features Overview Version

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1 Table of Contents Teradata SQL Features Overview Version Module 0 - Introduction Course Objectives Course Description Course Content Module 1 - Teradata Studio Features Optimize Effectiveness Key Features Modular Display Teradata Studio Toolbar Data Source Explorer View Creating Connections Creating Database Objects Creating a SQL Statement (SQL Editor) Project Explorer View HELP TABLE Command Other SQL HELP Commands Setting a Default Database The Teradata SHOW Command Other SQL SHOW Commands Session Information via SELECT Session Information via HELP SESSION SQL Editor SQL Editor with Outline View Using SQL Query Builder Result Set Viewer SQL History View Teradata View Shortcuts to Data Source Objects Shortcuts to Typing Object Names Commenting Lines of SQL Logging on to Multiple Systems Teradata Load Wizard Choosing Studio or Studio Express

2 The Employee_Sales Database The Emp_Views Database Module 1: Summary Module 1: Review Questions Module 1: Lab Exercises Module 2 - Basic SELECT Clauses A Simple SQL SELECT Projecting All Columns and All Rows Selecting Columns Individually Aliasing Mistake? Ordering Options Using WHERE to Eliminate Rows The ASCII Collating Sequence and Teradata Mode The ASCII Collating Sequence and ANSI Mode Basic Logical Operators DISTINCT Option Module 2: Summary Module 2: Review Questions Module 2: Lab Exercise Module 3 - Some Basic Logical Operators Logical Operators The AND Condition The OR Condition Parentheses and the Predicate The IN Operator The NOT IN Operator The BETWEEN Operator NULL Conditional Expressions and NULL Negating Conditions and Operators NULL Literal in an IN-List NULL Literal in a NOT IN-List Module 3: Summary Module 3: Review Questions Module 3: Lab Exercise

3 Module 4 - Data Types and Functionality Data Types Character Data Types Character Functionality BETWEEN Functionality with CHARACTER Integer Data Types Decimal Data Types Float Data Type Byte Data Types Date Data Type ARRAY Data Type NUMBER Data Type (14.0) More Data Types Arithmetic Operators Arithmetic and Derived Values Arithmetic Functions DATE Arithmetic Data Type Conversions Using CAST Data Type Conversions and Rounding Concatenated Example Results FORMAT Methods for FORMAT in ODBC and JDBC Tools Year, Month and Day Formatting Options Module 4: Summary Module 4: Review Questions Module 4: Lab Exercise Module 5 - Basic SQL Functions UPPER & LOWER UPPER & LOWER for Case Sensitivity CHARACTER_LENGTH TRIM Trimming Other Than Space POSITION SUBSTRING SUBSTRING and Numbers LIKE LIKE Examples Using % LIKE Examples Using _ LIKE and ESCAPE CASESPECIFIC EXTRACT ADD_MONTHS DEFAULT The Calendars

4 Calendar Differences Additional Calendar Functions Module 5: Summary Module 5: Review Questions Module 5: Lab Exercise Module 6 - Subqueries The Subquery Adding Conditions Nesting Subqueries Multiple Column Matching NOT EXISTS EXISTS NULL and NOT IN Subquery Module 6: Summary Module 6: Review Questions Module 6: Lab Exercise Module 7 - Inner Join Inner Join vs. Subquery Varied Forms of Inner Join Many-Table Inner Joins Using Parentheses to Understand Order Using Parentheses with Other Forms Self Joins Guaranteeing Uniqueness Cross Join Mistakes on Table Aliasing Mistakes on Column Aliasing Module 7: Summary Module 7: Review Questions Module 7: Lab Exercise Module 8 - Set Operators What are Set Operators? UNION UNION ALL INTERSECT EXCEPT (MINUS) EXCEPT and ALL Module 8: Summary Module 8: Review Questions

5 Module 9 - Outer Join Outer Join Concepts Types of Outer Joins Employee as Left Outer Nulls and the Inner Table Department as Outer Outer Joins and WHERE Syntax Variations Three Table Outer Join Full Outer Join Module 9: Summary Module 9: Review Questions Module 9: Lab Exercise Module 10 - Aggregation Aggregate Functionality COUNT(*) Aggregating Groups Adding Grouping Columns The HAVING Clause WHERE Clause Explain HAVING on Non-Aggregates Aggregation and Joins COUNT DISTINCT Module 10: Summary Module 10: Review Questions Module 10: Lab Exercise Module 11 - Correlated Subqueries Correlated Subquery Terminology Correlated Subquery Processing Correlated Subqueries and Aggregation A Complex Example NOT IN vs. NOT EXISTS NOT EXISTS Logic Module 11: Summary Module 11: Review Questions Module 11: Lab Exercise

6 Module 12 - CASE CASE Valued Form (Project List) Valued Form and Null Searched Form NULLIF Function COALESCE Function COALESCE and Multiple Arguments Module 12: Summary Module 12: Review Questions Module 12: Lab Exercise Module 13 - Permanent and Derived Tables Data Definition Language Set vs. Multiset Table Level Options Column Level Options Index Level Options Creating and Dropping Secondary Indexes Help Index Derived Tables Forms of Derived Tables Complex Derived Table Join Module 13: Summary Module 13: Review Questions Module 13: Lab Exercise Module 14 - Update-Insert-Delete Inserting a Single Row Inserting an Apostrophe Inserting Default Values Insert-Select CASESPECIFIC and SET Tables CASESPECIFIC and MULTISET Tables UPDATE Updating with Joins UPDATE and FROM DELETE Deleting with Joins Module 14: Summary Module 14: Review Questions Module 14: Lab Exercise

7 Module 15 - SAMPLE and RANDOM SAMPLE Introduction SAMPLE Syntax Multiple Samples (Number of Rows) Multiple Samples (Percentage of Rows) SAMPLE WITH REPLACEMENT Other Considerations Using Derived Tables Stratified Sampling (No Replacement) Stratified Sampling (With Replacement) RANDOMIZED ALLOCATION The RANDOM Function RANDOM and Limitations Module 15: Summary Module 15: Review Questions Module 15: Lab Exercise Module 16 - TOP N TOP N Defined TOP N Limitations TOP N Example TOP N WITH TIES Without Ties Same Result Getting Bottom Results Unordered Rows The PERCENT Option PERCENT Option WITH TIES PERCENT Option No ORDER BY Module 16: Summary Module 16: Review Questions Module 16: Lab Exercise Module 17 - Creating Tables from Existing Tables Create Table AS Cloning Attributes Changing Table Attributes Using Subqueries to Customize Tables Renaming Columns Changing Column Attributes Using Inner Joins in a Subquery Using CAST Adding Unique and Primary Key Constraints Copying Statistics

8 Module 17: Summary Module 17: Review Questions Module 17: Lab Exercise Module 18 - Views What is a View? Creating and Using Views Replacing a View via SQL Assistant Using Views to Rename Columns Join View Joining Views Aggregates and HAVING Updating Through Views Views WITH CHECK OPTION Restrictions on Views Advantages and Suggestions Module 18: Review Questions Module 18: Lab Exercise Module 19 - Macros What is a Macro? CREATE, EXECUTE, DROP Macro Replacing a Macro Multiple Statement Macros Macros vs. Multi-Statement Requests Simple Parameterized Macros A More Complex Macro EXECUTE Form EXEC Form DDL and Macros Module 19: Summary Module 19: Review Questions Appendix A: Review Question Solutions Appendix B: Lab Exercise Solutions Appendix C: SQL Assistant

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